Build: #127 failed
Job: Test Linux failed
Build log
The build generated 82,552 lines of output.The output is too long and has been truncated to the last 1,000 lines. Download or view full build log.
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:32.745759 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:31.897032 End time: 2023-01-27 16:41:32.745759 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:33.630524 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:32.768080 End time: 2023-01-27 16:41:33.630524 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:34.435439 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:33.651096 End time: 2023-01-27 16:41:34.435439 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:35.263619 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:34.444991 End time: 2023-01-27 16:41:35.263619 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:36.091627 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:35.279763 End time: 2023-01-27 16:41:36.091627 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:36.949257 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:36.106280 End time: 2023-01-27 16:41:36.949257 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:37.850031 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:36.964543 End time: 2023-01-27 16:41:37.850031 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:44.987838 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:44.249832 End time: 2023-01-27 16:41:44.987838 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:45.753948 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:44.998434 End time: 2023-01-27 16:41:45.753948 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:46.541582 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:45.776350 End time: 2023-01-27 16:41:46.541582 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:47.277598 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:46.552798 End time: 2023-01-27 16:41:47.277598 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:47.980985 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:47.289355 End time: 2023-01-27 16:41:47.980985 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:48.726993 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:47.996952 End time: 2023-01-27 16:41:48.726993 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:49.488737 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:48.746959 End time: 2023-01-27 16:41:49.488737 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:50.197897 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:49.503225 End time: 2023-01-27 16:41:50.197897 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:50.924605 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:50.207676 End time: 2023-01-27 16:41:50.924605 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:51.636048 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:50.935805 End time: 2023-01-27 16:41:51.636048 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:52.431527 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:51.658189 End time: 2023-01-27 16:41:52.431527 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:53.205513 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:52.442761 End time: 2023-01-27 16:41:53.205513 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:53.990783 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:53.227040 End time: 2023-01-27 16:41:53.990783 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:54.788885 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:54.006033 End time: 2023-01-27 16:41:54.788885 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:55.554801 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:54.798660 End time: 2023-01-27 16:41:55.554801 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:56.362909 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:55.575268 End time: 2023-01-27 16:41:56.362909 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:57.134847 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:56.384676 End time: 2023-01-27 16:41:57.134847 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:57.871620 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:57.145875 End time: 2023-01-27 16:41:57.871620 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:58.645349 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:57.894304 End time: 2023-01-27 16:41:58.645349 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:41:59.391967 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:58.657798 End time: 2023-01-27 16:41:59.391967 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:00.149952 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:41:59.401980 End time: 2023-01-27 16:42:00.149952 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:00.946872 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:00.171122 End time: 2023-01-27 16:42:00.946872 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:01.654825 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:00.956920 End time: 2023-01-27 16:42:01.654825 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:02.386786 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:01.664714 End time: 2023-01-27 16:42:02.386786 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:03.174917 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:02.408735 End time: 2023-01-27 16:42:03.174917 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:03.905843 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:03.186942 End time: 2023-01-27 16:42:03.905843 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:04.640263 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:03.917568 End time: 2023-01-27 16:42:04.640263 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:11.386793 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:10.581046 End time: 2023-01-27 16:42:11.386793 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:12.227382 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:11.408098 End time: 2023-01-27 16:42:12.227382 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:13.019846 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:12.247915 End time: 2023-01-27 16:42:13.019846 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:13.839772 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:13.040354 End time: 2023-01-27 16:42:13.839772 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:14.660183 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:13.860189 End time: 2023-01-27 16:42:14.660183 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:15.401953 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:14.671647 End time: 2023-01-27 16:42:15.401953 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:16.183650 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:15.413132 End time: 2023-01-27 16:42:16.183650 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:16.948666 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:16.194015 End time: 2023-01-27 16:42:16.948666 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:17.668818 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:16.958227 End time: 2023-01-27 16:42:17.668818 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:18.387055 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:17.679735 End time: 2023-01-27 16:42:18.387055 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:19.101307 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:18.397000 End time: 2023-01-27 16:42:19.101307 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:19.876796 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:19.112049 End time: 2023-01-27 16:42:19.876796 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:20.643940 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:19.887823 End time: 2023-01-27 16:42:20.643940 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:21.388333 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:20.654508 End time: 2023-01-27 16:42:21.388333 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:22.148137 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:21.398668 End time: 2023-01-27 16:42:22.148137 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:22.922877 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:22.161084 End time: 2023-01-27 16:42:22.922877 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:23.654074 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:22.932913 End time: 2023-01-27 16:42:23.654074 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:24.379996 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:23.664638 End time: 2023-01-27 16:42:24.379996 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:25.173359 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:24.393787 End time: 2023-01-27 16:42:25.173359 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:25.928301 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:25.183814 End time: 2023-01-27 16:42:25.928301 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:26.701854 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:25.939416 End time: 2023-01-27 16:42:26.701854 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:27.448296 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:26.711803 End time: 2023-01-27 16:42:27.448296 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:28.207218 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:27.458995 End time: 2023-01-27 16:42:28.207218 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:28.949130 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:28.217682 End time: 2023-01-27 16:42:28.949130 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:29.729498 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:28.959604 End time: 2023-01-27 16:42:29.729498 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:30.483664 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:29.739671 End time: 2023-01-27 16:42:30.483664 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:31.259100 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:42:30.495131 End time: 2023-01-27 16:42:31.259100 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:39.262695 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:42:38.492708 End time: 2023-01-27 16:42:39.262695 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:44.099193 :: 130 :: mstransform :: Task mstransform complete. Start time: 2023-01-27 16:42:39.278135 End time: 2023-01-27 16:42:44.099193 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:45.234086 :: 130 :: flagmanager :: Task flagmanager complete. Start time: 2023-01-27 16:42:44.209945 End time: 2023-01-27 16:42:45.234086 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:52.333435 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:42:45.307011 End time: 2023-01-27 16:42:52.333435 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:42:59.025266 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:42:52.363394 End time: 2023-01-27 16:42:59.025266 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:01.262854 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:42:59.046331 End time: 2023-01-27 16:43:01.262854 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:08.321547 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:01.329682 End time: 2023-01-27 16:43:08.321547 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:15.025242 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:08.349624 End time: 2023-01-27 16:43:15.025242 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:17.069106 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:15.044327 End time: 2023-01-27 16:43:17.069106 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:23.168449 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:17.135781 End time: 2023-01-27 16:43:23.168449 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:25.232629 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:23.187108 End time: 2023-01-27 16:43:25.232629 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:31.372547 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:25.296583 End time: 2023-01-27 16:43:31.372547 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:33.439757 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:31.391283 End time: 2023-01-27 16:43:33.439757 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:39.612135 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:33.458647 End time: 2023-01-27 16:43:39.612135 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:40.381532 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:43:39.630888 End time: 2023-01-27 16:43:40.381532 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:44.880274 :: 130 :: mstransform :: Task mstransform complete. Start time: 2023-01-27 16:43:40.395041 End time: 2023-01-27 16:43:44.880274 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:49.620142 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:43:47.029302 End time: 2023-01-27 16:43:49.620142 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:52.601709 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:43:49.643817 End time: 2023-01-27 16:43:52.601709 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:43:55.698746 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:43:52.624557 End time: 2023-01-27 16:43:55.698746 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:03.633132 :: 130 :: split :: Task split complete. Start time: 2023-01-27 16:43:56.572610 End time: 2023-01-27 16:44:03.633132 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:06.597583 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:44:04.772697 End time: 2023-01-27 16:44:06.597583 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:17.168938 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:44:06.613495 End time: 2023-01-27 16:44:17.168938 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:21.314493 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:44:17.191034 End time: 2023-01-27 16:44:21.314493 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:48.064855 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:44:21.685602 End time: 2023-01-27 16:44:48.064855 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:52.222856 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:44:48.087864 End time: 2023-01-27 16:44:52.222856 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:55.221694 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:54.310058 End time: 2023-01-27 16:44:55.221694 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:56.101510 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:55.243224 End time: 2023-01-27 16:44:56.101510 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:56.985577 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:56.122823 End time: 2023-01-27 16:44:56.985577 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:57.857159 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:57.000580 End time: 2023-01-27 16:44:57.857159 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:58.671597 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:57.866722 End time: 2023-01-27 16:44:58.671597 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:44:59.475611 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:58.687254 End time: 2023-01-27 16:44:59.475611 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:00.358523 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:44:59.493688 End time: 2023-01-27 16:45:00.358523 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:01.262752 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:00.375432 End time: 2023-01-27 16:45:01.262752 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:02.078480 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:01.279019 End time: 2023-01-27 16:45:02.078480 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:02.966804 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:02.089253 End time: 2023-01-27 16:45:02.966804 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:03.901254 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:02.987335 End time: 2023-01-27 16:45:03.901254 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:04.777506 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:03.917111 End time: 2023-01-27 16:45:04.777506 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:05.645689 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:04.787532 End time: 2023-01-27 16:45:05.645689 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:06.472642 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:05.659859 End time: 2023-01-27 16:45:06.472642 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:07.335740 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:06.482123 End time: 2023-01-27 16:45:07.335740 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:08.194341 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:07.349963 End time: 2023-01-27 16:45:08.194341 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:09.035900 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:08.210719 End time: 2023-01-27 16:45:09.035900 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:09.888270 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:09.051679 End time: 2023-01-27 16:45:09.888270 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:10.728025 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:09.899342 End time: 2023-01-27 16:45:10.728025 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:11.543588 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:10.738903 End time: 2023-01-27 16:45:11.543588 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:12.429059 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:11.555716 End time: 2023-01-27 16:45:12.429059 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:13.303551 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:12.438843 End time: 2023-01-27 16:45:13.303551 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:14.131315 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:13.319743 End time: 2023-01-27 16:45:14.131315 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:14.912361 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:14.140788 End time: 2023-01-27 16:45:14.912361 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:15.741153 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:14.922027 End time: 2023-01-27 16:45:15.741153 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:16.576748 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:15.757578 End time: 2023-01-27 16:45:16.576748 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:17.471897 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:16.597906 End time: 2023-01-27 16:45:17.471897 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:23.873617 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:23.040746 End time: 2023-01-27 16:45:23.873617 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:24.743244 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:23.896106 End time: 2023-01-27 16:45:24.743244 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:25.600476 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:24.764334 End time: 2023-01-27 16:45:25.600476 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:26.481761 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:25.620252 End time: 2023-01-27 16:45:26.481761 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:27.380301 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:26.503778 End time: 2023-01-27 16:45:27.380301 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:28.291706 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:27.402511 End time: 2023-01-27 16:45:28.291706 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:29.166172 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:28.312835 End time: 2023-01-27 16:45:29.166172 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:30.038718 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:29.181891 End time: 2023-01-27 16:45:30.038718 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:30.957723 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:30.059902 End time: 2023-01-27 16:45:30.957723 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:31.838801 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:30.973697 End time: 2023-01-27 16:45:31.838801 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:32.721963 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:31.849269 End time: 2023-01-27 16:45:32.721963 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:33.566050 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:32.732610 End time: 2023-01-27 16:45:33.566050 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:34.434984 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:33.579870 End time: 2023-01-27 16:45:34.434984 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:35.305225 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:34.455980 End time: 2023-01-27 16:45:35.305225 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:36.179085 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:35.320567 End time: 2023-01-27 16:45:36.179085 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:37.011384 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:36.189806 End time: 2023-01-27 16:45:37.011384 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:37.921873 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:37.033036 End time: 2023-01-27 16:45:37.921873 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:38.789927 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:37.943265 End time: 2023-01-27 16:45:38.789927 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:39.686463 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:38.801469 End time: 2023-01-27 16:45:39.686463 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:40.555900 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:39.706937 End time: 2023-01-27 16:45:40.555900 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:41.459371 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:40.571303 End time: 2023-01-27 16:45:41.459371 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:42.323770 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:41.478686 End time: 2023-01-27 16:45:42.323770 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:43.209149 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:42.338363 End time: 2023-01-27 16:45:43.209149 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:44.074595 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:43.223119 End time: 2023-01-27 16:45:44.074595 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:44.874124 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:44.085098 End time: 2023-01-27 16:45:44.874124 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:45.727574 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:44.883986 End time: 2023-01-27 16:45:45.727574 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:45:46.617867 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:45:45.744409 End time: 2023-01-27 16:45:46.617867 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:46:46.678520 :: 130 :: setjy :: Task setjy complete. Start time: 2023-01-27 16:45:52.644235 End time: 2023-01-27 16:46:46.678520 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:46:48.581244 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:46:46.759840 End time: 2023-01-27 16:46:48.581244 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:03.179900 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:46:48.597096 End time: 2023-01-27 16:47:03.179900 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:08.537954 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:47:03.203031 End time: 2023-01-27 16:47:08.537954 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:20.969545 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:47:08.564501 End time: 2023-01-27 16:47:20.969545 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:25.643549 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:47:20.991332 End time: 2023-01-27 16:47:25.643549 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:25.745529 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:47:25.677847 End time: 2023-01-27 16:47:25.745529 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:28.568488 :: 130 :: applycal :: Task applycal complete. Start time: 2023-01-27 16:47:25.750176 End time: 2023-01-27 16:47:28.568488 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:40.874410 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:47:28.575200 End time: 2023-01-27 16:47:40.874410 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:45.536020 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:47:40.898054 End time: 2023-01-27 16:47:45.536020 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:46.148824 :: 130 :: fluxscale :: Task fluxscale complete. Start time: 2023-01-27 16:47:45.568480 End time: 2023-01-27 16:47:46.148824 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:48.404270 :: 130 :: setjy :: Task setjy complete. Start time: 2023-01-27 16:47:46.176051 End time: 2023-01-27 16:47:48.404270 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:51.845710 :: 130 :: setjy :: Task setjy complete. Start time: 2023-01-27 16:47:48.412342 End time: 2023-01-27 16:47:51.845710 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:47:54.487451 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:47:53.705067 End time: 2023-01-27 16:47:54.487451 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:48:08.147702 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:47:54.519188 End time: 2023-01-27 16:48:08.147702 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:48:12.504761 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:48:10.329155 End time: 2023-01-27 16:48:12.504761 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:48:32.418258 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:48:12.525673 End time: 2023-01-27 16:48:32.418258 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:48:55.710193 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:48:32.447869 End time: 2023-01-27 16:48:55.710193 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:49:09.688515 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:48:55.742590 End time: 2023-01-27 16:49:09.688515 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:49:39.109904 :: 130 :: bandpass :: Task bandpass complete. Start time: 2023-01-27 16:49:09.719113 End time: 2023-01-27 16:49:39.109904 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:50:04.649778 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:49:39.171340 End time: 2023-01-27 16:50:04.649778 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:50:04.748536 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:50:04.712846 End time: 2023-01-27 16:50:04.748536 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:50:40.871704 :: 130 :: applycal :: Task applycal complete. Start time: 2023-01-27 16:50:04.754078 End time: 2023-01-27 16:50:40.871704 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:51:14.101667 :: 130 :: split :: Task split complete. Start time: 2023-01-27 16:50:40.914306 End time: 2023-01-27 16:51:14.101667 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:04.184821 :: 130 :: setjy :: Task setjy complete. Start time: 2023-01-27 16:51:14.372877 End time: 2023-01-27 16:52:04.184821 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:06.548256 :: 130 :: setjy :: Task setjy complete. Start time: 2023-01-27 16:52:04.209684 End time: 2023-01-27 16:52:06.548256 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:21.016831 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:52:06.559414 End time: 2023-01-27 16:52:21.016831 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:26.248538 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:52:21.038623 End time: 2023-01-27 16:52:26.248538 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:40.536949 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:52:26.272786 End time: 2023-01-27 16:52:40.536949 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:45.507039 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:52:40.559357 End time: 2023-01-27 16:52:45.507039 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:52:57.821658 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:52:45.531931 End time: 2023-01-27 16:52:57.821658 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:02.486659 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 16:52:57.842104 End time: 2023-01-27 16:53:02.486659 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:05.552755 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:04.808169 End time: 2023-01-27 16:53:05.552755 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:06.264150 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:05.564656 End time: 2023-01-27 16:53:06.264150 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:06.989993 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:06.276186 End time: 2023-01-27 16:53:06.989993 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:07.701006 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:07.007619 End time: 2023-01-27 16:53:07.701006 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:08.436442 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:07.715923 End time: 2023-01-27 16:53:08.436442 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:09.177042 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:08.447227 End time: 2023-01-27 16:53:09.177042 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:09.942790 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:09.197509 End time: 2023-01-27 16:53:09.942790 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:10.687524 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:09.959938 End time: 2023-01-27 16:53:10.687524 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:11.439217 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:10.704455 End time: 2023-01-27 16:53:11.439217 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:12.189911 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:11.455844 End time: 2023-01-27 16:53:12.189911 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:12.953562 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:12.210364 End time: 2023-01-27 16:53:12.953562 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:13.723216 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:12.966582 End time: 2023-01-27 16:53:13.723216 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:14.480575 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:13.741081 End time: 2023-01-27 16:53:14.480575 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:15.237298 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:14.502165 End time: 2023-01-27 16:53:15.237298 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:16.001145 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:15.259239 End time: 2023-01-27 16:53:16.001145 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:16.722620 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:16.011485 End time: 2023-01-27 16:53:16.722620 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:17.468359 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:16.744253 End time: 2023-01-27 16:53:17.468359 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:18.206911 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:17.490109 End time: 2023-01-27 16:53:18.206911 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:18.908582 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:18.217402 End time: 2023-01-27 16:53:18.908582 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:19.626928 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:18.925270 End time: 2023-01-27 16:53:19.626928 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:20.375579 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:19.637079 End time: 2023-01-27 16:53:20.375579 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:21.168241 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:20.397147 End time: 2023-01-27 16:53:21.168241 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:21.896453 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:21.190177 End time: 2023-01-27 16:53:21.896453 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:22.595601 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:21.905901 End time: 2023-01-27 16:53:22.595601 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:23.360792 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:22.613924 End time: 2023-01-27 16:53:23.360792 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:24.091763 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:23.377803 End time: 2023-01-27 16:53:24.091763 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:24.838825 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:24.101171 End time: 2023-01-27 16:53:24.838825 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:31.620030 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:30.783539 End time: 2023-01-27 16:53:31.620030 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:32.471350 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:31.642255 End time: 2023-01-27 16:53:32.471350 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:33.331148 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:32.480939 End time: 2023-01-27 16:53:33.331148 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:34.212980 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:33.350660 End time: 2023-01-27 16:53:34.212980 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:35.042599 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:34.226971 End time: 2023-01-27 16:53:35.042599 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:35.864609 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:35.058333 End time: 2023-01-27 16:53:35.864609 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:36.746017 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:35.885655 End time: 2023-01-27 16:53:36.746017 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:37.601027 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:36.766682 End time: 2023-01-27 16:53:37.601027 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:38.473954 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:37.622758 End time: 2023-01-27 16:53:38.473954 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:39.350626 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:38.511188 End time: 2023-01-27 16:53:39.350626 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:40.167778 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:39.371864 End time: 2023-01-27 16:53:40.167778 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:41.040453 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:40.190018 End time: 2023-01-27 16:53:41.040453 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:41.869562 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:41.052349 End time: 2023-01-27 16:53:41.869562 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:42.728219 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:41.891257 End time: 2023-01-27 16:53:42.728219 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:43.570289 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:42.740231 End time: 2023-01-27 16:53:43.570289 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:44.437552 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:43.580156 End time: 2023-01-27 16:53:44.437552 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:45.316485 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:44.457205 End time: 2023-01-27 16:53:45.316485 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:46.122460 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:45.330439 End time: 2023-01-27 16:53:46.122460 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:46.989008 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:46.139604 End time: 2023-01-27 16:53:46.989008 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:47.854416 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:47.005068 End time: 2023-01-27 16:53:47.854416 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:48.662597 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:47.863943 End time: 2023-01-27 16:53:48.662597 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:49.520959 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:48.673010 End time: 2023-01-27 16:53:49.520959 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:50.326837 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:49.533843 End time: 2023-01-27 16:53:50.326837 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:51.131756 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:50.338010 End time: 2023-01-27 16:53:51.131756 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:52.021126 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:51.155159 End time: 2023-01-27 16:53:52.021126 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:52.831702 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:52.030860 End time: 2023-01-27 16:53:52.831702 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:53:53.668952 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:53:52.854112 End time: 2023-01-27 16:53:53.668952 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:01.075306 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:00.339027 End time: 2023-01-27 16:54:01.075306 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:01.847011 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:01.087112 End time: 2023-01-27 16:54:01.847011 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:02.613709 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:01.859535 End time: 2023-01-27 16:54:02.613709 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:03.409267 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:02.635717 End time: 2023-01-27 16:54:03.409267 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:04.174556 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:03.418997 End time: 2023-01-27 16:54:04.174556 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:04.906897 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:04.186050 End time: 2023-01-27 16:54:04.906897 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:05.656257 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:04.916591 End time: 2023-01-27 16:54:05.656257 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:06.361329 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:05.669044 End time: 2023-01-27 16:54:06.361329 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:07.097977 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:06.377598 End time: 2023-01-27 16:54:07.097977 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:07.849310 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:07.107835 End time: 2023-01-27 16:54:07.849310 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:08.546251 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:07.860802 End time: 2023-01-27 16:54:08.546251 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:09.290012 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:08.558181 End time: 2023-01-27 16:54:09.290012 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:10.016254 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:09.299470 End time: 2023-01-27 16:54:10.016254 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:10.759951 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:10.025952 End time: 2023-01-27 16:54:10.759951 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:11.496353 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:10.771531 End time: 2023-01-27 16:54:11.496353 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:12.280718 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:11.507282 End time: 2023-01-27 16:54:12.280718 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:13.070793 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:12.302635 End time: 2023-01-27 16:54:13.070793 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:13.839461 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:13.092773 End time: 2023-01-27 16:54:13.839461 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:14.632766 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:13.859663 End time: 2023-01-27 16:54:14.632766 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:15.396828 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:14.650997 End time: 2023-01-27 16:54:15.396828 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:16.172852 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:15.418896 End time: 2023-01-27 16:54:16.172852 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:16.913953 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:16.184639 End time: 2023-01-27 16:54:16.913953 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:17.642592 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:16.924618 End time: 2023-01-27 16:54:17.642592 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:18.413309 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:17.653231 End time: 2023-01-27 16:54:18.413309 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:19.229040 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:18.435062 End time: 2023-01-27 16:54:19.229040 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:19.971354 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:19.238852 End time: 2023-01-27 16:54:19.971354 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:20.763812 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:19.982667 End time: 2023-01-27 16:54:20.763812 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:28.266313 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:27.451913 End time: 2023-01-27 16:54:28.266313 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:29.062253 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:28.288417 End time: 2023-01-27 16:54:29.062253 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:29.918724 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:29.084260 End time: 2023-01-27 16:54:29.918724 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:30.698246 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:29.928991 End time: 2023-01-27 16:54:30.698246 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:31.495366 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:30.710258 End time: 2023-01-27 16:54:31.495366 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:32.245267 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:31.505503 End time: 2023-01-27 16:54:32.245267 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:33.001691 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:32.256581 End time: 2023-01-27 16:54:33.001691 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:33.804633 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:33.019154 End time: 2023-01-27 16:54:33.804633 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:34.557036 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:33.814772 End time: 2023-01-27 16:54:34.557036 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:35.317213 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:34.566962 End time: 2023-01-27 16:54:35.317213 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:36.034159 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:35.327160 End time: 2023-01-27 16:54:36.034159 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:36.852948 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:36.044119 End time: 2023-01-27 16:54:36.852948 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:37.628290 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:36.862346 End time: 2023-01-27 16:54:37.628290 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:38.451551 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:37.651287 End time: 2023-01-27 16:54:38.451551 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:39.241970 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:38.471165 End time: 2023-01-27 16:54:39.241970 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:40.048544 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:39.261013 End time: 2023-01-27 16:54:40.048544 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:40.836971 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:40.058403 End time: 2023-01-27 16:54:40.836971 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:41.585611 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:40.857806 End time: 2023-01-27 16:54:41.585611 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:42.458048 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:41.607489 End time: 2023-01-27 16:54:42.458048 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:43.286018 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:42.479784 End time: 2023-01-27 16:54:43.286018 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:44.094158 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:43.308504 End time: 2023-01-27 16:54:44.094158 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:44.847767 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:44.104054 End time: 2023-01-27 16:54:44.847767 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:45.659707 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:44.870093 End time: 2023-01-27 16:54:45.659707 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:46.456152 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:45.678994 End time: 2023-01-27 16:54:46.456152 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:47.282933 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:46.466159 End time: 2023-01-27 16:54:47.282933 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:48.102948 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:47.304760 End time: 2023-01-27 16:54:48.102948 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:48.902936 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:48.119275 End time: 2023-01-27 16:54:48.902936 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:56.342672 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:55.510868 End time: 2023-01-27 16:54:56.342672 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:57.210095 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:56.362771 End time: 2023-01-27 16:54:57.210095 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:58.063156 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:57.226526 End time: 2023-01-27 16:54:58.063156 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:58.960653 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:58.082749 End time: 2023-01-27 16:54:58.960653 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:54:59.837970 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:58.981162 End time: 2023-01-27 16:54:59.837970 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:00.660220 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:54:59.853248 End time: 2023-01-27 16:55:00.660220 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:01.469630 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:00.671922 End time: 2023-01-27 16:55:01.469630 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:02.375604 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:01.479963 End time: 2023-01-27 16:55:02.375604 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:03.234584 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:02.387431 End time: 2023-01-27 16:55:03.234584 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:04.062081 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:03.246401 End time: 2023-01-27 16:55:04.062081 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:04.911199 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:04.072184 End time: 2023-01-27 16:55:04.911199 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:05.739137 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:04.920927 End time: 2023-01-27 16:55:05.739137 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:06.550585 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:05.748802 End time: 2023-01-27 16:55:06.550585 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:07.411135 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:06.562034 End time: 2023-01-27 16:55:07.411135 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:08.328010 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:07.433217 End time: 2023-01-27 16:55:08.328010 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:09.208450 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:08.344039 End time: 2023-01-27 16:55:09.208450 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:10.085694 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:09.223150 End time: 2023-01-27 16:55:10.085694 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:10.960542 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:10.097433 End time: 2023-01-27 16:55:10.960542 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:11.848031 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:10.980925 End time: 2023-01-27 16:55:11.848031 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:12.685145 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:11.863625 End time: 2023-01-27 16:55:12.685145 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:13.570140 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:12.704860 End time: 2023-01-27 16:55:13.570140 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:14.441706 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:13.581838 End time: 2023-01-27 16:55:14.441706 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:15.271554 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:14.453216 End time: 2023-01-27 16:55:15.271554 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:16.088120 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:15.283641 End time: 2023-01-27 16:55:16.088120 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:16.979747 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:16.102627 End time: 2023-01-27 16:55:16.979747 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:17.810886 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:16.989818 End time: 2023-01-27 16:55:17.810886 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:18.679780 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:17.826156 End time: 2023-01-27 16:55:18.679780 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:24.947731 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:24.243397 End time: 2023-01-27 16:55:24.947731 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:25.679170 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:24.959488 End time: 2023-01-27 16:55:25.679170 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:26.401562 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:25.695799 End time: 2023-01-27 16:55:26.401562 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:27.168204 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:26.422124 End time: 2023-01-27 16:55:27.168204 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:27.934731 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:27.189059 End time: 2023-01-27 16:55:27.934731 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:28.716672 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:27.957421 End time: 2023-01-27 16:55:28.716672 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:29.458741 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:28.731438 End time: 2023-01-27 16:55:29.458741 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:30.213245 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:29.475530 End time: 2023-01-27 16:55:30.213245 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:30.968135 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:30.231677 End time: 2023-01-27 16:55:30.968135 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:31.733229 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:30.983815 End time: 2023-01-27 16:55:31.733229 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:32.484073 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:31.749239 End time: 2023-01-27 16:55:32.484073 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:33.224459 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:32.502910 End time: 2023-01-27 16:55:33.224459 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:33.955247 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:33.246320 End time: 2023-01-27 16:55:33.955247 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:34.717153 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:33.974850 End time: 2023-01-27 16:55:34.717153 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:35.469939 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:34.734920 End time: 2023-01-27 16:55:35.469939 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:36.241899 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:35.487866 End time: 2023-01-27 16:55:36.241899 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:37.015537 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:36.263174 End time: 2023-01-27 16:55:37.015537 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:37.785239 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:37.032412 End time: 2023-01-27 16:55:37.785239 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:38.553276 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:37.802368 End time: 2023-01-27 16:55:38.553276 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:39.359606 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:38.576911 End time: 2023-01-27 16:55:39.359606 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:40.107121 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:39.370006 End time: 2023-01-27 16:55:40.107121 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:40.861691 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:40.123813 End time: 2023-01-27 16:55:40.861691 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:41.626581 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:40.882090 End time: 2023-01-27 16:55:41.626581 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:42.406492 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:41.648363 End time: 2023-01-27 16:55:42.406492 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:43.113093 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:42.418738 End time: 2023-01-27 16:55:43.113093 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:43.842129 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:43.125701 End time: 2023-01-27 16:55:43.842129 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:44.614356 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:43.864255 End time: 2023-01-27 16:55:44.614356 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:52.066320 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:51.353392 End time: 2023-01-27 16:55:52.066320 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:52.827154 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:52.084439 End time: 2023-01-27 16:55:52.827154 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:53.595613 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:52.849362 End time: 2023-01-27 16:55:53.595613 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:54.373165 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:53.616096 End time: 2023-01-27 16:55:54.373165 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:55.141487 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:54.395429 End time: 2023-01-27 16:55:55.141487 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:55.901317 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:55.163503 End time: 2023-01-27 16:55:55.901317 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:56.677044 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:55.923292 End time: 2023-01-27 16:55:56.677044 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:57.423748 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:56.691959 End time: 2023-01-27 16:55:57.423748 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:58.173577 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:57.442098 End time: 2023-01-27 16:55:58.173577 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:58.917804 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:58.192820 End time: 2023-01-27 16:55:58.917804 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:55:59.660525 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:58.929868 End time: 2023-01-27 16:55:59.660525 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:00.424444 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:55:59.682832 End time: 2023-01-27 16:56:00.424444 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:01.190277 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:00.440766 End time: 2023-01-27 16:56:01.190277 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:01.957828 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:01.204569 End time: 2023-01-27 16:56:01.957828 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:02.726198 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:01.978478 End time: 2023-01-27 16:56:02.726198 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:03.500615 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:02.748199 End time: 2023-01-27 16:56:03.500615 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:04.274239 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:03.522615 End time: 2023-01-27 16:56:04.274239 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:04.977462 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:04.286882 End time: 2023-01-27 16:56:04.977462 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:05.732453 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:04.990324 End time: 2023-01-27 16:56:05.732453 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:06.489842 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:05.750172 End time: 2023-01-27 16:56:06.489842 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:07.216520 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:06.500200 End time: 2023-01-27 16:56:07.216520 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:07.990453 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:07.238460 End time: 2023-01-27 16:56:07.990453 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:08.759773 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:08.012828 End time: 2023-01-27 16:56:08.759773 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:09.521767 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:08.780953 End time: 2023-01-27 16:56:09.521767 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:10.281670 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:09.542084 End time: 2023-01-27 16:56:10.281670 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:11.043301 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:10.303860 End time: 2023-01-27 16:56:11.043301 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:11.757910 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:11.054074 End time: 2023-01-27 16:56:11.757910 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:19.425943 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:18.645064 End time: 2023-01-27 16:56:19.425943 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:20.234092 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:19.448985 End time: 2023-01-27 16:56:20.234092 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:21.036624 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:20.256457 End time: 2023-01-27 16:56:21.036624 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:21.814752 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:21.058779 End time: 2023-01-27 16:56:21.814752 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:22.600487 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:21.837961 End time: 2023-01-27 16:56:22.600487 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:23.361961 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:22.612369 End time: 2023-01-27 16:56:23.361961 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:24.122265 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:23.380915 End time: 2023-01-27 16:56:24.122265 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:24.889903 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:24.143312 End time: 2023-01-27 16:56:24.889903 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:25.625041 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:24.911269 End time: 2023-01-27 16:56:25.625041 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:26.397258 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:25.640283 End time: 2023-01-27 16:56:26.397258 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:27.137308 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:26.417034 End time: 2023-01-27 16:56:27.137308 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:27.908143 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:27.151969 End time: 2023-01-27 16:56:27.908143 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:28.697132 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:27.928851 End time: 2023-01-27 16:56:28.697132 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:29.482689 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:28.720168 End time: 2023-01-27 16:56:29.482689 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:30.243618 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:29.501989 End time: 2023-01-27 16:56:30.243618 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:30.981781 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:30.261191 End time: 2023-01-27 16:56:30.981781 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:31.749878 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:31.002495 End time: 2023-01-27 16:56:31.749878 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:32.481794 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:31.765225 End time: 2023-01-27 16:56:32.481794 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:33.259407 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:32.503994 End time: 2023-01-27 16:56:33.259407 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:34.004966 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:33.275748 End time: 2023-01-27 16:56:34.004966 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:34.798075 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:34.026003 End time: 2023-01-27 16:56:34.798075 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:35.548011 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:34.808238 End time: 2023-01-27 16:56:35.548011 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:36.315209 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:35.557755 End time: 2023-01-27 16:56:36.315209 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:37.033657 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:36.328458 End time: 2023-01-27 16:56:37.033657 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:37.758622 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:37.046444 End time: 2023-01-27 16:56:37.758622 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:38.493191 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:37.775889 End time: 2023-01-27 16:56:38.493191 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:39.269587 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 16:56:38.515689 End time: 2023-01-27 16:56:39.269587 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:56:50.513355 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:56:45.447850 End time: 2023-01-27 16:56:50.513355 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:58:43.218625 :: 130 :: applycal :: Task applycal complete. Start time: 2023-01-27 16:56:50.520898 End time: 2023-01-27 16:58:43.218625 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:58:48.057124 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:58:43.283560 End time: 2023-01-27 16:58:48.057124 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:58:52.878100 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:58:48.079860 End time: 2023-01-27 16:58:52.878100 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:58:58.012480 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:58:55.433512 End time: 2023-01-27 16:58:58.012480 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:59:08.514522 :: 130 :: mstransform :: Task mstransform complete. Start time: 2023-01-27 16:58:58.028271 End time: 2023-01-27 16:59:08.514522 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:59:09.701277 :: 130 :: flagmanager :: Task flagmanager complete. Start time: 2023-01-27 16:59:08.684524 End time: 2023-01-27 16:59:09.701277 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 16:59:44.439260 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:59:09.794244 End time: 2023-01-27 16:59:44.439260 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 17:00:15.241354 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 16:59:44.473356 End time: 2023-01-27 17:00:15.241354 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 17:00:21.752856 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:00:15.262822 End time: 2023-01-27 17:00:21.752856 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 17:00:54.598672 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:00:21.835578 End time: 2023-01-27 17:00:54.598672 |
| 27-Jan-2023 12:27:57 | INFO log:task_logging.py:28 2023-01-27 17:01:24.851266 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:00:54.628014 End time: 2023-01-27 17:01:24.851266 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:01:31.392027 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:01:24.876321 End time: 2023-01-27 17:01:31.392027 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:01:59.605879 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:01:31.486879 End time: 2023-01-27 17:01:59.605879 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:02:06.495677 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:01:59.637753 End time: 2023-01-27 17:02:06.495677 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:02:34.627811 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:02:06.578394 End time: 2023-01-27 17:02:34.627811 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:02:41.306984 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:02:34.659690 End time: 2023-01-27 17:02:41.306984 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:04:33.930128 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:02:41.326948 End time: 2023-01-27 17:04:33.930128 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:04:36.481338 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:04:33.954692 End time: 2023-01-27 17:04:36.481338 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:04:46.686839 :: 130 :: mstransform :: Task mstransform complete. Start time: 2023-01-27 17:04:36.495242 End time: 2023-01-27 17:04:46.686839 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:04:51.855557 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:04:48.836537 End time: 2023-01-27 17:04:51.855557 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:04:55.711796 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:04:51.877171 End time: 2023-01-27 17:04:55.711796 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:04:59.598094 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:04:55.722530 End time: 2023-01-27 17:04:59.598094 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:05:05.132808 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:05:00.419853 End time: 2023-01-27 17:05:05.132808 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:06:25.970523 :: 130 :: statwt :: Task statwt complete. Start time: 2023-01-27 17:05:05.139828 End time: 2023-01-27 17:06:25.970523 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:06:30.627301 :: 130 :: flagdata :: Task flagdata complete. Start time: 2023-01-27 17:06:25.989718 End time: 2023-01-27 17:06:30.627301 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:06:36.283683 :: 130 :: split :: Task split complete. Start time: 2023-01-27 17:06:30.637303 End time: 2023-01-27 17:06:36.283683 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:06:42.447162 :: 130 :: gaincal :: Task gaincal complete. Start time: 2023-01-27 17:06:36.411061 End time: 2023-01-27 17:06:42.447162 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:06:57.964635 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:06:48.274350 End time: 2023-01-27 17:06:57.964635 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:07:05.833077 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:06:58.004556 End time: 2023-01-27 17:07:05.833077 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:07:10.571666 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:07:05.854481 End time: 2023-01-27 17:07:10.571666 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:07:12.491569 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:07:10.592324 End time: 2023-01-27 17:07:12.491569 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:07:23.625003 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:07:12.513632 End time: 2023-01-27 17:07:23.625003 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:07:33.191358 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:07:23.709667 End time: 2023-01-27 17:07:33.191358 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:07:51.131884 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:07:33.218964 End time: 2023-01-27 17:07:51.131884 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:00.514607 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:07:51.187543 End time: 2023-01-27 17:08:00.514607 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:18.750563 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:08:00.566015 End time: 2023-01-27 17:08:18.750563 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:21.126087 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:08:19.023880 End time: 2023-01-27 17:08:21.126087 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:40.098069 :: 130 :: plotms :: Task plotms complete. Start time: 2023-01-27 17:08:21.154155 End time: 2023-01-27 17:08:40.098069 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:45.599413 :: 130 :: visstat :: Task visstat complete. Start time: 2023-01-27 17:08:45.343693 End time: 2023-01-27 17:08:45.599413 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:47.649250 :: 130 :: visstat :: Task visstat complete. Start time: 2023-01-27 17:08:45.604536 End time: 2023-01-27 17:08:47.649250 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:50.397140 :: 130 :: visstat :: Task visstat complete. Start time: 2023-01-27 17:08:47.661744 End time: 2023-01-27 17:08:50.397140 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:50.560631 :: 130 :: visstat :: Task visstat complete. Start time: 2023-01-27 17:08:50.404965 End time: 2023-01-27 17:08:50.560631 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:51.528355 :: 130 :: visstat :: Task visstat complete. Start time: 2023-01-27 17:08:50.565472 End time: 2023-01-27 17:08:51.528355 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:08:52.392965 :: 130 :: visstat :: Task visstat complete. Start time: 2023-01-27 17:08:51.534047 End time: 2023-01-27 17:08:52.392965 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:10:55.314931 :: 130 :: tclean :: Task tclean complete. Start time: 2023-01-27 17:09:50.384522 End time: 2023-01-27 17:10:55.314931 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:17:30.947947 :: 130 :: tclean :: Task tclean complete. Start time: 2023-01-27 17:10:55.951138 End time: 2023-01-27 17:17:30.947947 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:17:58.359867 :: 130 :: tclean :: Task tclean complete. Start time: 2023-01-27 17:17:34.608464 End time: 2023-01-27 17:17:58.359867 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:19:11.388568 :: 130 :: tclean :: Task tclean complete. Start time: 2023-01-27 17:17:59.059538 End time: 2023-01-27 17:19:11.388568 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:19:30.663574 :: 130 :: flagmanager :: Task flagmanager complete. Start time: 2023-01-27 17:19:29.371105 End time: 2023-01-27 17:19:30.663574 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:19:45.951100 :: 130 :: exportfits :: Task exportfits complete. Start time: 2023-01-27 17:19:45.918657 End time: 2023-01-27 17:19:45.951100 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:19:46.020196 :: 130 :: exportfits :: Task exportfits complete. Start time: 2023-01-27 17:19:45.973261 End time: 2023-01-27 17:19:46.020196 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:19:46.089879 :: 130 :: exportfits :: Task exportfits complete. Start time: 2023-01-27 17:19:46.045727 End time: 2023-01-27 17:19:46.089879 |
| 27-Jan-2023 12:27:58 | INFO log:task_logging.py:28 2023-01-27 17:19:46.151837 :: 130 :: exportfits :: Task exportfits complete. Start time: 2023-01-27 17:19:46.110160 End time: 2023-01-27 17:19:46.151837 |
| 27-Jan-2023 12:27:58 | =============================== warnings summary =============================== |
| 27-Jan-2023 12:27:58 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedlist.py:10 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedlist.py:10: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedset.py:6 |
| 27-Jan-2023 12:27:58 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedset.py:6 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sortedset.py:6: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:8 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:8: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:9 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:9: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:10 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sortedcontainers-1.4.4-py3.6.egg/sortedcontainers/sorteddict.py:10: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/extern/findContinuum.py:216 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/findContinuum.py:216: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated. |
| 27-Jan-2023 12:27:58 | from scipy.ndimage.filters import gaussian_filter |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/hifa/tasks/fluxscale/qa.py:622 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifa/tasks/fluxscale/qa.py:622: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | 'boolean': numpy.bool, |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py:245 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/infrastructure/utils/regression-tester.py:245: SyntaxWarning: "is" with a literal. Did you mean "=="? |
| 27-Jan-2023 12:27:58 | if telescope is 'alma': |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py:247 |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/infrastructure/utils/regression-tester.py:247: SyntaxWarning: "is" with a literal. Did you mean "=="? |
| 27-Jan-2023 12:27:58 | elif telescope is 'vla': |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/tasks/rawflagchans/rawflagchans.py:244: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | data = np.zeros([len(corrs), nchans, nbaselines], np.complex) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/tasks/rawflagchans/rawflagchans.py:245: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | ndata = np.zeros([len(corrs), nchans, nbaselines], np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | self.flag_reason_plane = np.zeros(np.shape(data), np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:81: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | self.nodata = np.zeros(np.shape(self.data), np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 69 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:483: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | flag_reason = np.zeros(np.shape(flag), np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:302: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | sentinelvalues = np.array(list(sentinel_set), np.float) + 10.0 |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 85 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:316: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | sentinel_mask = np.zeros(np.shape(data), np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 49367 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:638: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | sentinel_mask = np.zeros(np.shape(value), np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 69 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/image.py:190: PendingDeprecationWarning: The set_constrained_layout_pads function will be deprecated in a future version. Use figure.get_layout_engine().set() instead. |
| 27-Jan-2023 12:27:58 | fig.set_constrained_layout_pads(w_pad=0.02, h_pad=0.02) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 11 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/heuristics/findrefant.py:668: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | far = numpy.array(list(distance.values()), numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 11 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/heuristics/findrefant.py:915: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | nGood = numpy.array(list(good.values()), numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 79 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/casatasks/private/task_plotbandpass.py:7094: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | type(selectedValues) == np.int): |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 2335 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:144: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | self.nodata = np.zeros(np.shape(self.data), np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 2335 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:149: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | self.noisychannels = np.zeros(np.shape(self.data), np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 40 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1216: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 68 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/commonresultobjects.py:114: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | self.flag = np.zeros(np.shape(data), np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 40 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1235: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1438: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1455: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 16 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1753: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1645: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1846: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | spw_medianflag = np.ones(np.shape(spw_spectrumstack)[1], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 31 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1860: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | ant_medianflag = np.ones(np.shape(ant_spectrumstack[antenna_id])[1], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1314: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | stackmedianflag = np.ones(np.shape(spectrumstack)[1], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/tsysflag/tsysflag.py:1333: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | flag = np.ones([antenna_ids[-1]+1, len(times)], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:796: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | num_flagged = np.zeros([np.shape(data)[1]], np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 80 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:817: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | i2flag = np.zeros([0], np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 80 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/viewflaggers.py:818: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | j2flag = np.zeros([0], np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3432: RuntimeWarning: Mean of empty slice. |
| 27-Jan-2023 12:27:58 | return _methods._mean(a, axis=axis, dtype=dtype, |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:190: RuntimeWarning: invalid value encountered in double_scalars |
| 27-Jan-2023 12:27:58 | ret = ret.dtype.type(ret / rcount) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/displays/slice.py:264: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed. |
| 27-Jan-2023 12:27:58 | plt.subplot(nplots, 1, plotnumber) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 26 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/arrayflaggerbase.py:309: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | result = np.array([], np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hif/tasks/lowgainflag/lowgainflag.py:469: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | flag = np.ones([nants, len(scans)], np.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/ma/core.py:851: RuntimeWarning: underflow encountered in multiply |
| 27-Jan-2023 12:27:58 | return umath.absolute(a) * self.tolerance >= umath.absolute(b) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 65 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/PIPE692.py:539: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | over = np.int(np.round(over / diffTime)) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/fromnumeric.py:758: UserWarning: Warning: 'partition' will ignore the 'mask' of the MaskedArray. |
| 27-Jan-2023 12:27:58 | a.partition(kth, axis=axis, kind=kind, order=order) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 26 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/tasks/common/manifest.py:59: DeprecationWarning: This method will be removed in future versions. Use 'list(elem)' or iteration over elem instead. |
| 27-Jan-2023 12:27:58 | return self.piperesults.getchildren()[0] |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/importdata/reader.py:650: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | NchanArray = numpy.fromiter((nchan_map[n] for n in Tif), dtype=numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:265: RuntimeWarning: Degrees of freedom <= 0 for slice |
| 27-Jan-2023 12:27:58 | ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:223: RuntimeWarning: invalid value encountered in divide |
| 27-Jan-2023 12:27:58 | arrmean = um.true_divide(arrmean, div, out=arrmean, casting='unsafe', |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:257: RuntimeWarning: invalid value encountered in double_scalars |
| 27-Jan-2023 12:27:58 | ret = ret.dtype.type(ret / rcount) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:277: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | index_ra = numpy.array((ras - min_ra) * igrid_ra_corr, dtype=numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:278: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | index_dec = numpy.array((decs - min_dec) * igrid_dec, dtype=numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:281: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | counter = numpy.zeros((ngrid_ra, ngrid_dec), dtype=numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:428: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | StorageOut = numpy.zeros((nrow, nchan), dtype=numpy.complex) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:430: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | StorageNumSp = numpy.zeros((nrow), dtype=numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 18 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/simplegrid.py:431: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | StorageNumFlag = numpy.zeros((nrow), dtype=numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 41006 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/heuristics/linefinder.py:67: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | mask = np.array(mask, np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 41006 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/h/heuristics/linefinder.py:85: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | previous_line_indeces = np.array([], np.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 35148 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/detection.py:387: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | return numpy.array([data[i:i+Bin].mean() for i in range(offset, len(data)-Bin+1, Bin)], dtype=numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 35148 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/detection.py:368: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | return numpy.array([data[i:i+Bin].min() for i in range(offset, len(data)-Bin+1, Bin)], dtype=numpy.bool) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1379: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | Data = numpy.zeros((Obs.shape[0], NumParam), numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1383: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | Factor = numpy.ones(NumParam, numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1259: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | tmp = numpy.zeros((Data.shape[0]+Repeat*2, Data.shape[1]), numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1427: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | Range = numpy.zeros((C, 5), numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 12 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baseline/validation.py:1428: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | Stdev = numpy.zeros((C, 5), numpy.float) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/heuristics/fitorder.py:48: RuntimeWarning: invalid value encountered in double_scalars |
| 27-Jan-2023 12:27:58 | average = (spectrum * flag).sum() / float(flag.sum()) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 116 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:412: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | statistics_array = dict((p, numpy.zeros((5, output_array_size), dtype=numpy.float)) for p in polids) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:516: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | RmaskOld = numpy.zeros(NCHAN, numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:518: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | RmaskNew = numpy.zeros(NCHAN, numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:552: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | LmaskOld = numpy.zeros(NCHAN, numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 4760 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:554: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | LmaskNew = numpy.zeros(NCHAN, numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 116 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/worker.py:688: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | mask = numpy.ones((Nflag, Ndata), numpy.int) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 232 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:220: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | NPprows[key] = np.zeros( NROW, dtype=np.int ) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 232 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:221: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | NPptime[key] = np.zeros( NROW, dtype=np.float ) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 928 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:229: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | NPpdata[key] = np.zeros( NROW, dtype=np.float ) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 928 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/flagsummary.py:230: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | NPpflag[key] = np.zeros( NROW, dtype=np.int ) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/baselineflag/SDFlagPlotter.py:457: UserWarning: Attempting to set identical low and high ylims makes transformation singular; automatically expanding. |
| 27-Jan-2023 12:27:58 | ax[pol].axis( [xmin, xmax, ylim[0], ylim[1]] ) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 14 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/extern/sensitivity_improvement.py:230: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead |
| 27-Jan-2023 12:27:58 | LOG.warn("This is pre-Cycle 3 data, thus the averaging is not definitely known. I will instead use 1") |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/detectcontamination.py:237: RuntimeWarning: invalid value encountered in divide |
| 27-Jan-2023 12:27:58 | peak_sn = (np.nanmax(cube_regrid, axis=0)) / rms_map |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__procedure_hsdn_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___mg2_20170525142607_180419__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/detectcontamination.py:262: RuntimeWarning: invalid value encountered in divide |
| 27-Jan-2023 12:27:58 | peak_sn2 = (np.nanmax(cube_regrid, axis=0)) / rms_map |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 19 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:1435: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | ROWS = numpy.zeros(NH * NV * NhPanel * NvPanel, dtype=numpy.int) - 1 |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 99 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:100: MatplotlibDeprecationWarning: The draw_all function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use fig.draw_without_rendering() instead. |
| 27-Jan-2023 12:27:58 | colorbar.draw_all() |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 30 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:695: RuntimeWarning: Mean of empty slice. |
| 27-Jan-2023 12:27:58 | Plot[x][y] = valid_sp.mean(axis=0) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 30 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/_methods.py:182: RuntimeWarning: invalid value encountered in divide |
| 27-Jan-2023 12:27:58 | ret = um.true_divide( |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f__procedure_hsd_calimage__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_X85c183_X36f_SPW15_23__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hsd/tasks/imaging/display.py:843: RuntimeWarning: invalid value encountered in divide |
| 27-Jan-2023 12:27:58 | data_weight_integ = numpy.ma.masked_array((data_integ / weight_integ), [not val for val in mask_integ], |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/syspower/syspower.py:298: RuntimeWarning: invalid value encountered in divide |
| 27-Jan-2023 12:27:58 | pdrq = p_diff / (rq ** 2) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 216 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/syspower/syspower.py:73: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | window_size = np.abs(np.int(window_size)) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 216 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/syspower/syspower.py:74: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. |
| 27-Jan-2023 12:27:58 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:27:58 | order = np.abs(np.int(order)) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py: 216 warnings |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/matrixlib/defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. |
| 27-Jan-2023 12:27:58 | return matrix(data, dtype=dtype, copy=False) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/numpy/core/shape_base.py:65: UserWarning: Warning: converting a masked element to nan. |
| 27-Jan-2023 12:27:58 | ary = asanyarray(ary) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:27:58 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/matplotlib/text.py:693: UserWarning: Warning: converting a masked element to nan. |
| 27-Jan-2023 12:27:58 | posy = float(self.convert_yunits(self._y)) |
| 27-Jan-2023 12:27:58 | |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:27:58 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/casa-6.5.5-1-pipeline-2023.0.0.3/lib/py/lib/python3.8/site-packages/casatasks/private/task_flagdata.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison |
| 27-Jan-2023 12:28:32 | if v == '': |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:328: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 27-Jan-2023 12:28:32 | ax1.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:338: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 27-Jan-2023 12:28:32 | ax2.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:218: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 27-Jan-2023 12:28:32 | ax1.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/fluxscale/fluxbootdisplay.py:226: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. |
| 27-Jan-2023 12:28:32 | ax2.set_xlim(np.log10(np.array([minxlim, maxxlim]))) |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py: 726 warnings |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/statwt/renderer.py:107: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. |
| 27-Jan-2023 12:28:32 | Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations |
| 27-Jan-2023 12:28:32 | summary = np.array(whole[stat], dtype=np.float) |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py: 21 warnings |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/statwt/renderer.py:162: PendingDeprecationWarning: The get_cmap function will be deprecated in a future version. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead. |
| 27-Jan-2023 12:28:32 | cmap=cm.get_cmap(name='Reds') |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | pipeline/infrastructure/utils/regression-tester.py: 33 warnings |
| 27-Jan-2023 12:28:32 | /home/casatest/casa-build-utils/pipeline/workdir/pipeline/pipeline/hifv/tasks/statwt/renderer.py:164: PendingDeprecationWarning: The get_cmap function will be deprecated in a future version. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead. |
| 27-Jan-2023 12:28:32 | cmap=cm.get_cmap(name='Blues') |
| 27-Jan-2023 12:28:32 | |
| 27-Jan-2023 12:28:32 | -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html |
| 27-Jan-2023 12:28:32 | - generated xml file: /home/casatest/casa-build-utils/pipeline/workdir/pipeline_regression_test_result.xml - |
| 27-Jan-2023 12:28:32 | =========================== short test summary info ============================ |
| 27-Jan-2023 12:28:32 | FAILED pipeline/infrastructure/utils/regression-tester.py::test_uid___A002_Xc46ab2_X15ae_repSPW_spw16_17_small__procedure_hifa_calimage__regression |
| 27-Jan-2023 12:28:32 | FAILED pipeline/infrastructure/utils/regression-tester.py::test_13A_537__procedure_hifv__regression |
| 27-Jan-2023 12:28:32 | FAILED pipeline/infrastructure/utils/regression-tester.py::test_13A_537__calibration__PPR__regression |
| 27-Jan-2023 12:28:32 | ==== 3 failed, 5 passed, 1 skipped, 230951 warnings in 20407.02s (5:40:07) ===== |
| 27-Jan-2023 12:28:32 | Telemetry initialized. Telemetry will send anonymized usage statistics to NRAO. |
| 27-Jan-2023 12:28:32 | You can disable telemetry by adding the following line to the config.py file in your rcdir (e.g. ~/.casa/config.py): |
| 27-Jan-2023 12:28:32 | telemetry_enabled = False |
| 27-Jan-2023 12:28:32 | 2023-01-27 17:27:59 INFO ::casa Terminating casaplotms, PID: 156 |
| 27-Jan-2023 12:28:32 | 2023-01-27 17:27:59 INFO ::casa Finished shutting down casaplotms. Poll return code: -9, PID: 156 |
| 27-Jan-2023 12:28:32 | 0 |
| 27-Jan-2023 12:28:37 | Finished task 'Test' with result: Success |
| 27-Jan-2023 12:28:37 | Starting task 'JUnit Parser' of type 'com.atlassian.bamboo.plugins.testresultparser:task.testresultparser.junit' |
| 27-Jan-2023 12:28:37 | Parsing test results under /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-TPM-JOB1... |
| 27-Jan-2023 12:28:37 | Failing task since 3 failing test cases were found. |
| 27-Jan-2023 12:28:37 | Finished task 'JUnit Parser' with result: Failed |
| 27-Jan-2023 12:28:37 | Starting task 'Cleanup' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script' |
| 27-Jan-2023 12:28:37 | Beginning to execute external process for build 'Pipeline - Pipeline Main with Casa Master Test - Test Linux #127 (PIPE-TPM-JOB1-127)' ... running command line: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/temp/PIPE-TPM-JOB1-127-ScriptBuildTask-6793140899378017682.sh ... in: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-TPM-JOB1 |
| 27-Jan-2023 12:28:38 | Starting cleanup |
| 27-Jan-2023 12:28:38 | Error response from daemon: No such container: pipeline-test |
| 27-Jan-2023 12:28:38 | Error: No such container: pipeline-test |
| 27-Jan-2023 12:28:38 | Cleanup complete |
| 27-Jan-2023 12:28:38 | Finished task 'Cleanup' with result: Success |
| 27-Jan-2023 12:28:38 | Running post build plugin 'Docker Container Cleanup' |
| 27-Jan-2023 12:28:38 | Beginning to execute external process for build 'Pipeline - Pipeline Main with Casa Master Test - Test Linux #127 (PIPE-TPM-JOB1-127)' ... running command line: /usr/bin/docker rm -f pipelinetest ... in: /export/home/cbt-pipeline-test/ci-workspace/bamboohome/xml-data/build-dir/PIPE-TPM-JOB1 |
| 27-Jan-2023 12:28:56 | pipelinetest |
| 27-Jan-2023 12:28:56 | Running post build plugin 'NCover Results Collector' |
| 27-Jan-2023 12:28:56 | Running post build plugin 'Clover Results Collector' |
| 27-Jan-2023 12:28:56 | Running post build plugin 'npm Cache Cleanup' |
| 27-Jan-2023 12:28:56 | Running post build plugin 'Artifact Copier' |
| 27-Jan-2023 12:28:56 | Publishing an artifact: Unit Test Result xml |
| 27-Jan-2023 12:28:56 | Finished publishing of artifact Required shared artifact: [Unit Test Result xml], pattern: [pipeline_regression_test_result.xml] anchored at: [pkgout/] in 136.9 ms |
| 27-Jan-2023 12:28:56 | Publishing an artifact: Regression Test Result |
| 27-Jan-2023 12:28:56 | Finished publishing of artifact Required shared artifact: [Regression Test Result], pattern: [pipeline_unit_test_result.xml] anchored at: [pkgout/] in 37.76 ms |
| 27-Jan-2023 12:28:56 | Finalising the build... |
| 27-Jan-2023 12:28:56 | Stopping timer. |
| 27-Jan-2023 12:28:56 | Build PIPE-TPM-JOB1-127 completed. |
| 27-Jan-2023 12:28:57 | Running on server: post build plugin 'NCover Results Collector' |
| 27-Jan-2023 12:28:57 | Running on server: post build plugin 'Build Hanging Detection Configuration' |
| 27-Jan-2023 12:28:57 | Running on server: post build plugin 'Clover Delta Calculator' |
| 27-Jan-2023 12:28:57 | Running on server: post build plugin 'Maven Dependencies Postprocessor' |
| 27-Jan-2023 12:28:57 | All post build plugins have finished |
| 27-Jan-2023 12:28:57 | Generating build results summary... |
| 27-Jan-2023 12:28:57 | Saving build results to disk... |
| 27-Jan-2023 12:28:57 | Store variable context... |
| 27-Jan-2023 12:28:57 | Indexing build results... |
| 27-Jan-2023 12:28:57 | Finished building PIPE-TPM-JOB1-127. |